Read the Web :: Carnegie Mellon University

NELL: Never-Ending Language Learning

Can computers learn to read? We think so. "Read the Web" is a research project that attempts to create a computer system that learns over time to read the web. Since January 2010, our computer system called NELL (Never-Ending Language Learner) has been running continuously, attempting to perform two tasks each day:

First, it attempts to "read," or extract facts from text found in hundreds of millions of web pages (e.g., playsInstrument(George_Harrison, guitar)).
Second, it attempts to improve its reading competence, so that tomorrow it can extract more facts from the web, more accurately.

So far, NELL has accumulated over 50 million candidate beliefs by reading the web, and it is considering these at different levels of confidence. NELL has high confidence in 2,810,379 of these beliefs — these are displayed on this website. It is not perfect, but NELL is learning. You can track NELL's progress below or @cmunell on Twitter, browse and download its knowledge base, read more about our technical approach, or join the discussion group.

instance	iteration	date learned	confidence
discriminative_mixture_learning is an area of study within the field of machine learning	1111	06-jul-2018	99.9
matt_diaz is american	1111	06-jul-2018	100.0
beautiful_gold is a color	1111	06-jul-2018	100.0
hypogastric_nerve_nbsp is a nerve	1111	06-jul-2018	97.9
ray_danton is a North American person	1111	06-jul-2018	91.4

flowers is an agricultural product produced in _uk	1116	12-sep-2018	100.0
camden is a park in the city central_london	1116	12-sep-2018	100.0
flea an arthropod that can be very irritating to mammal dog	1116	12-sep-2018	100.0
national is a company that has an office in the country taiwan	1114	25-aug-2018	100.0
helmsley is a hotel in the city nueva_york	1116	12-sep-2018	99.5

Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Recently-Learned Facts